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Kambayashi Lab
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A lab that uses mathematical models to predict how drugs behave in the body.
AboutAbout the lab
Predicting a drug's performance in the body with numbers
The Kambayashi Lab conducts research that uses mathematical models to quantitatively predict how drugs are absorbed in the body and how they take effect.
The lab develops both mechanistic models, which are based on underlying mechanisms, and data-driven models, which are built from data.
By understanding drug quality and pharmacokinetics together, the lab aims to support decision-making in drug development and patient-centric quality design.
The lab places research at the center of education. It values developing students' ability to set their own problems and lead them to solutions, and to communicate their results in both Japanese and English.
Key terms
- Pharmacokinetics
- The course of a drug taken orally or by injection as it is absorbed in the body, carried throughout the body, and then broken down and eliminated.
- Physiologically based biopharmaceutics model (PBBM)
- A model that expresses the shape and function of the stomach and intestines in mathematical equations to calculate how much of a drug is absorbed and how quickly.
- Bioavailability
- The proportion of an administered drug that actually reaches the systemic circulation.
- Biowaiver
- The idea that human clinical trials can be waived based on test results for a drug's properties and dissolution.
NewsLab news
A paper on a biowaiver for dabigatran, from an international joint study, has been accepted by the Journal of Pharmaceutical Sciences.
A paper predicting the pharmacokinetics of orally disintegrating (OD) tablets taken without water has been accepted by the European Journal of Pharmaceutics and Biopharmaceutics.
A paper examining the relationship between the volume of water taken with a drug and the amount absorbed has been accepted by the Journal of Drug Delivery Science and Technology.
A master's student received an Outstanding Master's Thesis Award.
A paper on a biowaiver for empagliflozin, from an international joint study, has been accepted by the Journal of Pharmaceutical Sciences.
ResearchResearch themes
To quantitatively predict the in vivo performance of drugs (pharmacokinetics and efficacy), the lab develops mechanistic models and data-driven models. It builds methods that link drug quality with pharmacokinetics to make predictions, for formulations ranging from oral drugs to injectables.
*Illustrative imageModels for Predicting Oral Drug Absorption
The lab develops physiologically based biopharmaceutics models (PBBM) and uses them to predict the pharmacokinetics of difficult formulations such as orally disintegrating tablets and extended-release formulations, absorption in the fed state, and drug-drug interactions in the gastrointestinal tract. It also analyzes the relationship between the volume of water taken with a drug and the amount absorbed, and predicts membrane permeability using machine learning.
*Illustrative imagePredicting In Vivo Performance of Injectables and Other Formulations
The lab studies pharmacokinetic modeling of non-oral formulations. Examples include models that predict the bioavailability and blood concentration of antibody drugs injected subcutaneously, and models that predict blood concentrations of inhaled pulmonary formulations and subcutaneously implanted extended-release formulations.
*Illustrative imageLinking Absorption Models and Pharmacodynamic Models
The lab combines physiologically based biopharmaceutics models with pharmacokinetic/pharmacodynamic (PK/PD) models. The goal is to build a foundation for quantitatively evaluating in vivo equivalence between formulations, and the relationship between quality specifications and in vivo performance, from the standpoint of drug efficacy as well.
*Illustrative imageBCS-Based Biowaiver
As a member of an international focus group, the lab uses surveys, experiments, and analysis to propose whether human clinical trials can be waived (biowaiver) for drugs on the WHO Essential Medicines List. This research contributes to improving access to medicines in developing countries.
MembersFaculty
The Kambayashi Lab's members consist of faculty and students in the doctoral, master's, and undergraduate programs.As of 2026
- Associate ProfessorAtsushi Kambayashi
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Medicine cocktail tablets and pills in glass” Pöllö / CC BY 3.0 (cropped)
- Models for Predicting Oral Drug Absorption: “7-cpt PBPK model” Frederic Y Bois / CC BY-SA 3.0 (cropped)
- Predicting In Vivo Performance of Injectables and Other Formulations: “Subcutaneous injection with insulin needle” British Columbia Institute of Technology (BCIT) / CC BY 4.0 (cropped)
- Linking Absorption Models and Pharmacodynamic Models: “IV EV 2” Alfie↑↓© (Helmut Schütz) / CC BY 4.0 (cropped)
- BCS-Based Biowaiver: “Biopharmaceutics Classification System (BCS)” MKD / CC BY-SA 4.0 (cropped)
- Related lab (内海研究室): “DNA Double Helix by NHGRI” National Human Genome Research Institute / Public domain (cropped)
- Related lab (原田研究室): “T Lymphocyte ( )” NIAID / CC BY 2.0 (cropped)
- Related lab (秋本研究室): “BS-Fig1” Goodwin G. Jinesh / CC BY-SA 4.0 (cropped)
- Related lab (秋田研究室): “Pick and Inhaler, Any Inahler” Alan Levine / CC BY 2.0 (cropped)
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